HealthOrzo is a User friendly Website made for Health Informatics and Prediction. It incorporates 4 Machine Learning Models , Each one Corresponding to a disease. The Diseases That the Website predicts and provides information on are as Follows:
Disease | Algorithm Used | Accuracy |
---|---|---|
Diabetes | Support Vector Machine (SVM) | 75% |
Heart Ailment | Logistic Regression | 81% |
Kidney Disease | Random Forests | 100% |
Liver Disease | Random Forests | 73% |
===> Python Version 3.8.8 was used for this Project.
===> All the Jupyter Notebooks can be Found in the Notebooks Folder.
===> All the rendered and the Saved Models can be Found in the Models Folder.
The Datasets Used for this Project were taken from Kaggle
virtualenv environment_name
source environment_name/bin/activate
pip install -r requirements.txt
python app.py